OpenWriterControle/dev/ai-tools/opencode/context/how-context-works.md

OpenCode File Structure & Reference Guide

Directory Structure

Global Config (~/.config/opencode/)

~/.config/opencode/
├── opencode.json          # Global config
├── AGENTS.md              # Auto-loaded instructions
├── CLAUDE.md              # Auto-loaded instructions
├── agent/                 # Custom agents
│   ├── my-agent.md
│   └── category/
│       └── nested-agent.md
├── command/               # Custom commands
│   └── my-command.md
└── plugin/                # Custom plugins
    └── my-plugin.ts

Local Repo (.opencode/)

your-repo/
├── opencode.json          # Repo config
├── .opencode/
│   ├── AGENTS.md          # Auto-loaded instructions
│   ├── agent/             # Project-specific agents
│   │   └── my-agent.md
│   ├── command/           # Project-specific commands
│   │   └── my-command.md
│   └── plugin/            # Project-specific plugins
│       └── my-plugin.ts
└── src/

Auto-Loaded Files

Instruction files (loaded automatically as system prompts):

• AGENTS.md - Custom instructions (global or local)
• CLAUDE.md - Legacy Claude instructions
• CONTEXT.md - Deprecated, but still works

Config files (merged in order):

1. ~/.config/opencode/opencode.json (global)
2. opencode.json files from repo root up to current directory
3. Files from .opencode/ folders in hierarchy

Supported Subfolders

Folder	Files	Purpose
agent/	*.md	Custom agents with system prompts
command/	*.md	Custom slash commands
plugin/	*.ts, *.js	Custom tools and extensions

⚠️ Use singular names only: agent/, NOT agents/

File References with @ Symbol

Immediate vs. Lazy Loading

With @ symbol - Immediate Loading:

• File is fetched and loaded right away
• Content is immediately available to the agent
• Use when context is always needed

Without @ symbol - Lazy Loading:

• File is only fetched when the agent determines it's needed
• Saves tokens if the agent can complete the task without it
• Agent discovers and loads the file on-demand

Using the @ Symbol

In commands and templates:

# Relative to repo root
@README.md
@src/main.ts

# Home directory
@~/my-file.txt

# Absolute path
@/absolute/path/file.txt

# If file doesn't exist, looks for agent
@my-agent

Resolution order:

1. Check if starts with ~/ → resolve to home directory
2. Check if absolute path → use as-is
3. Otherwise → resolve relative to repo root (Instance.worktree)
4. If not found → look for agent with that name

Best Practices for Lazy Loading (Without @)

When referencing files without the @ symbol, help the agent discover them by:

1. Provide clear file paths

"Use the context from .opencode/command/commit.md if needed"

2. Describe what's there (so agent knows when to fetch)

"Check the commit command guidelines in .opencode/command/commit.md 
when you need to understand our commit message format"

3. Mention directory conventions

"Command templates are in .opencode/command/ - reference them as needed"

4. Reference by purpose, not just path

"Follow our commit guidelines (available in the command directory) 
when making commits"

Example: Lazy Loading in Practice

Without @ symbol (lazy loading):

"Create a git commit. Our commit guidelines are in .opencode/command/commit.md - 
check them if you need to understand our prefix conventions and message format."

This approach:

• ✅ Agent knows the file exists and where it is
• ✅ Agent knows WHEN it would be useful (for commit conventions)
• ✅ Agent only reads it IF it needs that information
• ✅ Saves tokens if the agent can complete the task without it

With @ symbol (immediate loading):

"Create a git commit following these guidelines: @.opencode/command/commit.md"

This approach:

• ✅ File content is immediately available
• ✅ Guaranteed the agent has the context
• ⚠️ Uses tokens even if agent doesn't need it

When to Use Each Approach

Use @ (Immediate)	Omit @ (Lazy)
Context always required	Context might be needed
Short, critical files	Large reference files
Agent must follow exact format	Agent can infer or discover
Templates and schemas	Documentation and guides

Pro tip: Modern agents are good at discovering needed files through codebase_search or exploring directories, but being explicit about important files helps ensure consistency.

---

Research-Backed Context Architecture

Three-Layer Progressive Architecture

Based on validated research from Stanford, Anthropic (2025), and recent AI agent engineering studies, effective context loading follows a three-layer progressive architecture:

Layer 1: Static Base Context (First 15% of Prompt)

This is your foundational layer, grounded in Stanford's position sensitivity research. Critical instructions positioned early dramatically improve adherence.

What goes here:

• Role definition (5-10%)
• Critical rules (defined once, early positioning)
• Task definition (clear objective)
• Constraint summary (high-level "must/must-not")

Example:

<role>Expert Prompt Architect</role>
<critical_rules priority="absolute" enforcement="strict">
  <rule id="position_sensitivity">Critical rules MUST be in first 15%</rule>
  <rule id="nesting_limit">Max nesting: 4 levels</rule>
</critical_rules>
<execution_priority>
  <tier level="1">Research patterns (non-negotiable)</tier>
</execution_priority>

Why this matters: Research shows position sensitivity improves adherence across model sizes. Critical rules at the start are more reliably followed than rules buried later in the prompt.

Layer 2: Lazy-Loaded Context (Just-in-Time Retrieval)

This layer uses the "just-in-time" approach validated by Anthropic's 2025 research on effective context engineering for AI agents.

Rather than pre-processing all relevant data up front, agents built with the "just-in-time" approach maintain lightweight identifiers (file paths, stored queries, web links, etc.) and use these references to dynamically load data into context at runtime using tools.

Implementation:

<context_sources>
  <!-- Agent fetches these as needed, not embedded upfront -->
  <standards>.opencode/context/core/standards/code.md</standards>
  <practices>.opencode/context/core/practices/review.md</practices>
  <workflows>.opencode/context/core/workflows/delegation.md</workflows>
</context_sources>

Key insight: This enables progressive disclosure. Agents incrementally discover context through exploration:

• File naming hints at purpose (.../standards/code.md vs .../practices/review.md)
• File size signals complexity
• Timestamps indicate recency
• Folder structure provides hierarchical context

Token efficiency gain:

• Pre-loading all context: 2,000-5,000+ tokens
• Just-in-time loading: 300-1,000 tokens per file (agents typically need 2-3 files, not 10)
• Net savings: 60-80% reduction in token usage

Layer 3: Dynamic Runtime Context (Execution-Time Loading)

This layer handles long-horizon tasks and evolving context through compaction and memory strategies.

Implementation:

<session_memory>
  <!-- Agents write notes persisted outside context window -->
  <!-- Read back in at later times for coherence -->
  .opencode/sessions/[task-id].md
</session_memory>

<dynamic_context>
  <!-- RAG retrieval results filtered for relevance -->
  <!-- Tool execution outputs -->
  <!-- Delegation context from prior agents -->
</dynamic_context>

Research backing: For tasks spanning multiple turns:

• Compaction: Summarize context nearing window limit, reinitiate with summary + critical details
• Structured note-taking: Agent maintains notes in persistent memory (like session files), pulled back in later
• Progressive context assembly: Each interaction yields context informing the next decision

Progressive Disclosure by Design

Structure your context hierarchy so agents discover relevance layer-by-layer:

.opencode/context/core/
├── standards/              ← Broad guidelines (agent starts here)
│   ├── code.md            ← File naming hints: "code" standards
│   ├── tests.md           ← "tests" = test-specific rules
│   └── patterns.md        ← "patterns" = architectural patterns
├── practices/              ← Execution-level practices
│   ├── analysis.md        ← "analysis" = how to analyze
│   └── review.md          ← "review" = code review criteria
├── workflows/              ← Process templates
│   ├── delegation.md      ← Delegation patterns
│   ├── task-breakdown.md  ← Task analysis workflows
│   └── sessions.md        ← Session management
└── system/
    └── context-guide.md   ← System internals

Each folder name signals purpose. Each file name within folders signals specific application. This is progressive disclosure by design - agents can navigate the hierarchy based on their current needs.

Long-Horizon Task Strategies

For multi-hour tasks spanning context resets:

Compaction Strategy:

<memory_strategy>
  <!-- Before context reset: Agent summarizes work -->
  <compaction>
    Preserve: Architectural decisions, unresolved bugs, key insights
    Discard: Redundant tool outputs, repeated attempts
  </compaction>
  
  <!-- After reset: Agent reads notes and continues -->
  <structured_notes path=".opencode/sessions/[id].md">
    • Decisions made
    • Current phase
    • Next steps
    • Unresolved issues
  </structured_notes>
</memory_strategy>

Example: Anthropic's Claude Code maintains precise tallies across thousands of steps using persistent notes - the same pattern your session files implement.

Anti-Patterns to Avoid

Research identifies these common mistakes that reduce effectiveness:

❌ Anti-Pattern 1: Overload Static Context

<!-- DON'T DO THIS -->
<prompt>
  <all_standards><!-- 5000+ tokens of standards upfront --></all_standards>
  <task>Fix typo in button</task>
</prompt>

Problems:

• Attention budget exhaustion (n² transformer relationships)
• Reduced position sensitivity effectiveness (critical rules get buried)
• Worse adherence to specific instructions

Solution: Use lazy loading for large reference materials.

❌ Anti-Pattern 2: Deep Nesting

<!-- DON'T DO THIS -->
<instructions>
  <workflow>
    <delegation>
      <criteria>
        <when>
          <condition>
            <!-- 6+ levels: breaks clarity -->

Problem: Nesting depth >4 levels reduces clarity significantly.

Solution: Use attributes and flatter structures with max 4 levels.

❌ Anti-Pattern 3: Repeating Critical Rules

<!-- DON'T DO THIS -->
<rule_1>Always request approval</rule_1>
... 2000 tokens later ...
<rule_2>Always get approval before execution</rule_2>
... 3000 tokens later ...
<rule_3>Approval must be obtained</rule_3>

Problem: Repetition causes ambiguity and wastes tokens.

Solution: Define rules once in the first 15%, reference them with @rule_id elsewhere.

Token Efficiency Metrics

Real-world measurements from production agent systems:

Approach	Token Cost	Files Loaded	Efficiency
Pre-load all context	2,000-5,000+	10-15 files	Baseline
Just-in-time loading	300-1,000	2-3 files	60-80% savings
With compaction	500-1,500	3-5 files	50-70% savings

Key insight: Agents typically need only 2-3 context files per task, not the entire knowledge base.

Research Validation Summary

Pattern	Research Basis	Effect
Position Sensitivity	Stanford multi-instruction study	Improves adherence (varies by task/model)
Just-in-Time Loading	Anthropic context engineering (2025)	60-80% token reduction
Progressive Disclosure	Anthropic agent research	Agents discover context incrementally
Nesting Depth ≤4	Anthropic XML research	Reduces complexity, improves clarity
Compaction + Memory	Anthropic long-horizon tasks	Maintains coherence across resets

Research Sources

• Anthropic (2025): "Effective Context Engineering for AI Agents"
• Stanford: Multi-instruction position sensitivity study
• Anthropic: "XML Prompting as Grammar-Constrained Interaction" (ArXiv 2509.08182)
• ODSC (2025): "Building Dynamic In-Context Learning for Self-Optimizing Agents"
• ArXiv: "Optimization of Retrieval-Augmented Generation Context with Outlier Detection" (2407.01403)

---

Custom Instruction Files

For arbitrary paths, use instructions field:

{
  "instructions": [
    "~/opencode/context/my-context.md",
    "docs/**/*.md",
    ".opencode/context/**/*.md"
  ]
}

Paths can be:

• Absolute: /path/to/file.md
• Home relative: ~/path/to/file.md
• Repo relative: docs/instructions.md
• Glob patterns: **/*.md

Config Merging

Configs merge with priority (later overrides earlier):

1. Global config (~/.config/opencode/)
2. Repo root configs (from root up)
3. Custom config directories (.opencode/ folders)
4. Environment variables (OPENCODE_CONFIG)

Agents, commands, and plugins from all locations are merged together.

Quick Reference

What	Where	How
Global agent	~/.config/opencode/agent/name.md	Auto-loaded
Local agent	.opencode/agent/name.md	Auto-loaded
Global command	~/.config/opencode/command/name.md	Auto-loaded
Local command	.opencode/command/name.md	Auto-loaded
Global instructions	~/.config/opencode/AGENTS.md	Auto-loaded
Local instructions	.opencode/AGENTS.md or AGENTS.md	Auto-loaded
Custom files	Anywhere	Use instructions config or @ symbol